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  2. Ordinal numeral - Wikipedia

    en.wikipedia.org/wiki/Ordinal_numeral

    Ordinal numbers may be written in English with numerals and letter suffixes: 1st, 2nd or 2d, 3rd or 3d, 4th, 11th, 21st, 101st, 477th, etc., with the suffix acting as an ordinal indicator. Written dates often omit the suffix, although it is nevertheless pronounced. For example: 5 November 1605 (pronounced "the fifth of November ...

  3. Fraction - Wikipedia

    en.wikipedia.org/wiki/Fraction

    A cake with one quarter (one fourth) removed. The remaining three fourths are shown by dotted lines and labeled by the fraction 1 ⁄ 4. A fraction (from Latin: fractus, "broken") represents a part of a whole or, more generally, any number of equal parts. When spoken in everyday English, a fraction describes how many parts of a certain size ...

  4. Fractional factorial design - Wikipedia

    en.wikipedia.org/wiki/Fractional_factorial_design

    Dropping B results in a full factorial 2 3 design for the factors A, C, and D. Performing the anova using factors A, C, and D, and the interaction terms A:C and A:D, gives the results shown in the table, which are very similar to the results for the full factorial experiment experiment, but have the advantage of requiring only a half-fraction 8 ...

  5. Quarters vs Halves: Explaining why men's, women's college ...

    www.aol.com/quarters-vs-halves-explaining-why...

    Quarters provide more clock plays and allow team fouls to be reset after the first and third quarters. Moving to quarters will reduce the number of free throws on common fouls and will eliminate ...

  6. Fiscal Quarters (Q1, Q2, Q3, Q4) Explained and What ... - AOL

    www.aol.com/fiscal-quarters-q1-q2-q3-192741265.html

    Fiscal Quarter vs. Calendar Quarter. Some companies follow the natural quarters of the calendar mentioned above. This is known as a calendar quarter or year. Some might create their own fiscal ...

  7. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    If there are an even number of data points in the original ordered data set, split this data set exactly in half. The lower quartile value is the median of the lower half of the data. The upper quartile value is the median of the upper half of the data. The values found by this method are also known as "Tukey's hinges"; [4] see also midhinge.

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